Senior Data Scientist (Remote Work Eligible)

Open to remote work except in South Dakota, Vermont and West Virginia.

The annual base salary for this position ranges from $99,500.00 in our lowest geographic market to $222,900.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.

Information about benefits can be found here.
 

Analytics is a competitive differentiator for Nike and is fundamentally changing how the company serves athletes and consumers around the world! Our Nike Insights Data Science and Analytics team builds analytic-based solutions to manage marketplace and optimize the supply chain. Using big data, advanced analytics and innovative technology, the team strives to ensure that Nike gets the right product to the right place at the right time for the consumers

Who we are looking for

We are looking for a Sr Data Scientist to join our Merch Financial Planning Data Science team within Insights Data Science and Analytics focused overall Nike's growth over next several years. This role will be part of a multi-functional agile squad responsible for using predictive analytics to forecast consumer demand, enhance decision making and drive to action against our strategic priorities. Does this sound like you?

The candidate needs to be a dependable teammate with strong hands-on analytics experience, drive, and curiosity. You know how to rise above the numbers and explain the crucial insights to users at all levels. You simplify and distill business complexity into testable hypotheses and scalable solutions. While you are well versed in a plethora of sophisticated modeling techniques, you can identify the technique optimal for the task at hand based on the business requirements, your knowledge of the data and the technique’s assumptions, interpretability and robustness. You ask good questions, are continually learning as well as finding opportunities to share knowledge with others!

What you will work on

If this is you, you will be part of an Enterprise Data Science, Merch Financial Planning squad. We deliver scalable solutions to power data driven automated decision making on a variety of planning problems and other related key business decisions. Specifically, you will:

• Develop new sophisticated algorithms and improve existing approaches based on statistical/econometric methods, machine learning techniques and big data solutions to forecast consumer demand and determine optimal level of investment in various stages of the supply chain.

• Identify and apply methods to acquire, explore, cleanse, and fuse data from different sources.

• Design, write, …